Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0003-2457-8264
Scopus Author ID: 55933051500
Impact
Qualifications (Brief)
PhD (University of California San Diego)
Bachelor (HKUST)
Biography
Yinghao Chu received his Ph.D. from University of Califnornia, San Diego in 2015. Now Dr. Chu is an assistant professor working at Department of Advanced Design and Systems Engineering, City University of Hong Kong. Dr. Yinghao Chu has been working in the domain of Artificial Intelligence (AI) for real-world application since 2011. His research focuses on hybrid AI, which simulates the attention and coordination mechanism of human intelligence to solve application-orientated problems in real world, particularly in the areas of (1) renewable forecast and application, such as probabilistic forecasts of solar/load time series, and (2) smart manufacturing, such as operational computer vision system for robot guidance and surface quality inspection.
Research Interests/Areas
- Artificial Intelligence
- Deep Learning
- Renewable Energy
- Smart Manufacturing
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
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Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
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A System And Method For Generating A Renewable Energy Power Output Forecast
CHU, Y. (Inventor) & YU, H. (Inventor), 3 Jun 2026, (Accepted/In press/Filed) Priority No. 32026124306.9Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
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Collaborative inspection integrating both advanced LLM and traditional color difference quantification: A case study in infrared-based defect detection
Zhao, Z. (Co-first Author), Huang, Y. (Co-first Author), Bao, Y., Lyu, J., Zhang, H., Chu, Y. & Liu, K., 15 Jun 2026, In: Applied Energy. 413, 16 p., 127755.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Design and experimental synthesis of VOx/SSZ-13 catalyst based on first principles calculations - elucidating the role of VOx microstructure and valence state in propane dehydrogenation
Liu, Y., Zhang, T., Yang, J., Dong, J., Fu, Z., Chu, C., He, Y., Bing, L., Lan, X., Li, J., Wu, C., Hao, D.-D. & Chu, Y., Feb 2026, In: Journal of Environmental Chemical Engineering. 14, 1, 10 p., 120954.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Enhancing photovoltaic power forecasting with cross-variable linear integrated enhanced transformer
Gao, J., Cao, Q., Chu, Y., Zhang, D. & Chen, Y., May 2026, In: Energy Conversion and Management: X. 30, 12 p., 101720.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)1 Downloads (CityUHK Scholars) -
Morphology and electronic structure modulations of platinum by MBenes achieving high propane dehydrogenation performance
Zhang, T., Dong, J., Wang, J., Chen, Z., Fu, Z., Chu, C., He, Y., Nie, G., Jiang, G., Lan, X., Li, J., Liu, K., Wu, C. & Chu, Y., Aug 2026, In: Journal of Catalysis. 460, 116943.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Projects
- 3 Active
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ITF: A Hybrid Al Acceleration and Optimization Solution for Vision and Scheduling Tasks in Textile Manufacturing
CHU, Y. (Principal Investigator / Project Coordinator)
31/03/26 → …
Project: Research
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ECS: Generalizing Intra-Hour Power Forecasting for Distributed Solar Generations: An Explainable Generative Approach with Self-Attention and Spatial Embedding
CHU, Y. (Principal Investigator / Project Coordinator)
1/07/24 → …
Project: Research
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GDBAB-NSF-HK: 面向粵港澳大灣區分布式光伏系統高泛化性預測需求的小型化自適應GPT研究
CHU, Y. (Principal Investigator / Project Coordinator) & LIU, C. (Co-Investigator)
1/01/24 → …
Project: Research